Print Pattern Causality Effect

Prints the pattern causality effect analysis results. This function displays the received and exerted influences for each item for positive, negative, and dark causality types.

Usage

# S3 method for class 'pc_effect'
print(x, ...)

Arguments

x

A pc_effect object.

...

Additional arguments passed to the print function.

Value

Invisibly returns the input object.

Examples

# \donttest{
data(climate_indices)
dataset <- climate_indices[, -1]
pc_matrix_obj <- pcMatrix(dataset, E = 3, tau = 1, 
  metric = "euclidean", h = 1, weighted = TRUE, 
  verbose = FALSE)
effects <- pcEffect(pc_matrix_obj)
print(effects)
#> Pattern Causality Effect Analysis
#> --------------------------------
#> 
#> Positive Causality Effects:
#>     received exerted   Diff
#> AO     92.59   71.61  20.98
#> AAO    83.15  109.65 -26.49
#> NAO    71.51   64.57   6.93
#> PNA    85.56   86.98  -1.42
#> 
#> Negative Causality Effects:
#>     received exerted   Diff
#> AO     71.12   78.40  -7.28
#> AAO    82.71   50.33  32.38
#> NAO    78.74   97.21 -18.46
#> PNA    75.75   82.39  -6.63
#> 
#> Dark Causality Effects:
#>     received exerted   Diff
#> AO    136.29  149.99 -13.71
#> AAO   134.14  140.02  -5.88
#> NAO   149.75  138.22  11.53
#> PNA   138.69  130.63   8.06
#> 
# }